Data scientist specialized in machine learning and computer vision. My background is from research and development work via AI solutions, which I have worked on both in the public and private sectors. My main job responsibilities during the last years have revolved around analytical problem solving via machine learning and statistical methods, project management, producing intelligent cloud-based software solutions for institutions and client companies. My work also involves coordination and teaching of machine learning experts and methods, organizing seminars and public presentations.

My Ph.D. studies were focused on the development and application of machine learning techniques for open remotely sensed data sets. I have a passionate interest in all the sciences and technologies related to artificial intelligence, and I actively increase my frame reference on these subjects like the latest software, algorithm and theoretical solutions.

- Top skills -

◼️ Data analysis
◼️ Machine learning
◼️ Computer vision
◼️ Statistical modeling
◼️ Mathematics / Optimization
◼️ Software engineering
◼️ Signal / Digital image processing
◼️ Model validation

My research is focused on the development and application of machine learning techniques for open remotely sensed data sets and deep learning solutions in sensor fusion domains.

I work as an assistant lecturer on courses related to the application and validation of machine learning methods with real-world data sets. My interest areas include deep learning, Gaussian processes and Bayesian methods generally.